cyber full-stack technical software engineer

software engineer

backend engineer, api Jobs in San Francisco

backend engineer, api

backend engineer, integrations Jobs in San Francisco

backend engineer, integrations

backend software engineer Jobs in San Francisco

backend software engineer

cyber full-stack technical software engineer Jobs in San Francisco

senior full stack engineer

Supplied Talent

<div>We're investing heavily in a new product area: browser automation and document intelligence. You'll own this platform end-to-end &mdash; from architecture through shipping. This is not a maintenance role. It's 80% net-new build, with the chance to put your fingerprints on a product line that's already live with customers and growing fast. 
You'll report directly to the CEO (we're flat), work closely with product and forward-deployed engineering, and selectively join customer calls when you're the subject-matter expert on something you've built. 
WHAT YOU'LL BUILD<ul><li> 
Own the browser automation and document intelligence platform from the ground up</li><li>Build and ship AI agents that handle complex insurance workflows across voice, chat, email, and SMS</li><li>Write production-grade TypeScript/React/Node.js &mdash; first PR to production in week one</li><li>Work cross-functionally with product and forward-deployed engineering teams</li><li>Join customer calls to demo features you've built and advise on technical implementation</li><li>Shape architecture and tooling decisions as one of the earliest engineers at a company scaling fast</li><li>Help define engineering best practices as we grow toward 30 people by end of year</li></ul> 
WHAT WE'RE LOOKING FOR 
Experience<ul><li>4&ndash;8 years of full-stack engineering experience, with clear ownership and progression</li><li>The profile that fits best: someone already performing at a senior level, ready to make the jump to full end-to-end ownership and responsibility</li><li>Strong foundation from a reputable tech company or well-known startup &mdash; we value quality of experience over years</li><li>Proven ability to ship AI or LLM-based products in production &mdash; this is non-negotiable</li></ul> 
Technical Skills<ul><li>Proficient in a modern language; willingness to work in TypeScript/React/Node.js/Express (our stack)</li><li>Hands-on experience building or integrating LLM-based systems, agents, or AI workflows</li><li>PostgreSQL or similar relational database experience</li><li>AWS or cloud infrastructure experience is a plus, not a requirement</li></ul> 
Academic Background<ul><li>GPA 3.7+ preferred for candidates earlier in career &mdash; we may request a transcript</li><li>School prestige matters less than how you performed there; what we want to see is that you've pushed yourself</li></ul> 
Who You Are<ul><li>You want ownership &mdash; not a ticket queue, not a committee. You want to build and see it land with real customers</li><li>You're comfortable being customer-facing and can speak credibly to technical decisions you've made</li><li>You thrive in a high-intensity environment and want to be part of building something from early innings</li></ul> 
TECH STACK 
TypeScript
React
Node.js / Express
PostgreSQL
AWS 
We prioritize expertise in your language of choice and the appetite to work in our stack &mdash; we won't disqualify you for coming from a different language background.</div>

Senior Full Stack Engineer

Collective

<div>
 
 About Collective
 
 
 
 Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
 
 
 Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a highly motivated Software Engineer to join our growing engineering team. This is an ideal opportunity for someone 0-2 years out of school who wants to work in a fast-paced, high-growth environment. You&rsquo;ll work on financial products that directly impact self-employed individuals and small businesses across the U.S.
 
 
 As a key contributor on our product engineering team, you&rsquo;ll work closely with experienced engineers, product managers, and designers to build and scale core features of our platform. If you're excited to ship fast, learn constantly, and have real product impact from day one, we would be excited to meet you.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Drive end-to-end implementation of features that directly impact solopreneur financial outcomes, owning them from design to launch.
 </li>
 <li>
 Integrate and leverage AI tools (such as Generative AI and LLMs) to build intuitive, automated user experiences and achieve non-linear scalability.
 </li>
 <li>
 Contribute across the full stack (Python/Django, React/TypeScript) to develop core features and build systems that replace manual financial workflows.
 </li>
 <li>
 Collaborate cross-functionally with Product and Design to translate business requirements into best-in-class product experiences and high-impact solutions.
 </li>
 <li>
 Actively participate in technical discussions, code reviews, and planning sessions to elevate engineering practices and shape the technical foundation as we scale.
 </li>
 <li>
 Learn rapidly from senior engineers, consistently developing your expertise and problem-solving skills in a high-growth environment.
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 0&ndash;2 years of experience with a degree in Computer Engineering or a related field.
 </li>
 <li>
 A product mindset, committed to balancing technical excellence with tangible customer and business impact.
 </li>
 <li>
 Eagerness to explore and apply new technologies, including Generative AI and LLMs, to solve complex challenges and automate financial workflows.
 </li>
 <li>
 A proficiency in a core programming language to have built real projects or contributed to a team, and highly motivated to learn more.
 </li>
 <li>
 Familiarity with modern web technologies, either through internships or academic projects.
 </li>
 <li>
 Based in the Bay Area and are committed to a hybrid schedule (3 days/week onsite in SF).
 </li>
 <li>
 Curious, collaborative, a strong sense of ownership and urgency.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.
 </li>
 <li>
 Fresh Lunch: Provided on in-office days.
 </li>
 <li>
 Commuter Support: $150 monthly reimbursement for transit expenses.
 </li>
 <li>
 Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.
 </li>
 <li>
 Time Off: Flexible PTO plus 14 company holidays.
 </li>
 <li>
 Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.
 </li>
 <li>
 Parental Leave: 16 weeks fully paid.
 </li>
 <li>
 Retirement &amp; Ownership: 401k plan plus an equity package.
 </li>
 <li>
 Team Connection: Quarterly virtual events and an annual in-person summit.
 </li>
 </ul>
</div>

Software Engineer (New Grad)

Vast

<div><h1 class="jobSectionHeader">Developer Experience Engineer</h1>
Vast.ai &middot; Los Angeles or San Francisco Bay Area<h3 class="jobSectionHeader">
About Us</h3>
Vast.ai&rsquo;s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing&mdash;reshaping our future for the benefit of humanity.
We are a growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out‑sized, and leadership is earned by shipping excellence.
We seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of architecture, coding, and communication skills.
We've never had a dedicated role focused on the developers who build on Vast: the people renting compute from us to train and ship their models. That's what we're hiring for. You'll be our first DevEx Engineer, and you'll own the experience of building on Vast: the reference implementations and example code developers copy, and how we show up in the community around them.<h2 class="jobSectionHeader"> 
Why now</h2>
There's already an active community around Vast in our Discord, on Reddit, on X, and in YouTube comments. Some of it is the builders you'll serve; some of it is hosts and noise. Nobody on our side is really in there today, and our competitors staff this heavily. So part of the job is showing up for the developers who are already here, and part of it is growing the right audience around them. 
 
What you'll own<ul><li>
Technical content. Tutorials, example repos, and short videos that show people how to get something running on Vast. The useful kind that developers pass around on their own.</li><li>
Product feedback. You'll hear what's broken before anyone else does. Get it back to the product team, clearly and often.</li><li>
Events. Run our presence at hackathons (we already have sponsorships lined up), meetups, and conferences, including getting on a plane and showing up in person.</li><li>
Community. Be a real presence in our Discord, on Reddit, and on X. Answer the actual technical questions people ask, the kind they post at 1am when a container won't start. Set the tone for how Vast talks to developers.</li><li>
Creator partnerships. Work with developer-focused YouTubers and other creators, the ones with real audiences rather than bought ones.</li></ul> 
What you won't own
To be straight about scope: this role doesn't cover paid ads, brand and positioning strategy, or the growth dashboard. It's also focused on the demand side, the developers who build on Vast, not our GPU hosts and suppliers, who have their own very different needs. Other people own all of that and you'll partner with them. We want your time going into the builder community and the content that serves it, because that's where it pays off. 
 
Who you are<ul><li>
You've been an engineer. You can deploy a model and debug someone's setup, and developers can tell you've done the work yourself. This part can't be faked.</li><li>
You've built a developer community before, ideally close to from scratch. You know what makes one grow and what quietly kills it.</li><li>
You like people more than most engineers do. Writing, posting, talking, showing up at events. That's the actual day-to-day.</li><li>
You run yourself. Nobody's going to hand you a content calendar, and you'd rather ship something than sit in a planning meeting about it.</li></ul> 
Nice to have<ul><li>
Time at a cloud, GPU, AI-infrastructure, or developer-tools company.</li><li>
Something you've made that traveled: a tutorial series people reference, a repo with real stars, a talk that got passed around.</li><li>
Working knowledge of the AI/ML stack: model deployment, inference, fine-tuning.</li></ul> 
Your first 90 days<ul><li>
Get a steady, regular presence going on Reddit and Discord.</li><li>
Ship your first batch of tutorials and example repos.</li><li>
Represent Vast at a hackathon we're already sponsoring this summer.</li><li>
Give us a clear read on how other GPU and AI-infra companies show up with developers, and where we're behind.</li></ul> 
Compensation and location
$160,000&ndash;$200,000 base depending on experience, plus equity. We're profitable, venture-backed, and growing, so the equity is a stake in a real company with a real valuation, not a lottery ticket. Los Angeles or San Francisco Bay Area. Travel and conference budget covered.<h3 class="jobSectionHeader">
Benefits</h3><ul><li>
Comprehensive health, dental, vision, and life insurance</li><li>
401(k) with company match</li><li>
Meaningful early-stage equity</li><li>
Onsite meals, snacks, and close collaboration with founders/tech leaders</li><li>
Ambitious, fast-paced startup culture where initiative is rewarded</li></ul>
Compensation Range: $160K - $200K</div>

Developer Experience Engineer

Instabase

<div><div>At Instabase, we're passionate about democratizing access to cutting-edge AI innovation to enable any organization to solve previously unsolvable unstructured data problems in their industry. With customers representing some of the largest and most complex organizations in the world, and investors like Greylock, Andreessen Horowitz, and Index Ventures, our market opportunity is near infinite.

Instabase offers a consumption-based pricing model where customers can pay only for what they use, aligning directly with the value our products deliver. It empowers our clients to explore our AI Hub platform features extensively, enabling them to uncover crucial business insights. This customer-centric model allows Instabase to glean insights from diverse use cases and behaviors, ensuring we deliver top-tier solutions that provide unmatched advantages for everyday business operations.

With offices in San Francisco and Bengaluru, Instabase is a truly global company. We are people-first, and we've built a fearlessly experimental, endlessly curious, customer obsessed team who work together and help organizations around the world turn their unstructured data into insights instantly.</div><h1 class="jobSectionHeader">
Technical Lead Manager (TLM) &mdash; AI Systems &amp; Agents</h1>
<h2 class="jobSectionHeader">About Instabase and the Evolution of Our Business Model</h2>

Instabase is the pioneer in helping the world's largest enterprises&mdash;including global banks, insurance leaders, and healthcare giants&mdash;unlock and automate value from unstructured data. Our core platform is the industry standard for reading, understanding, and processing complex, unstructured documents at massive scale.

As a strategic addition to our current business model, we are building SuperApp, our natively multimodal, stateful AI assistant and autonomous agent platform. SuperApp represents the next evolution of Instabase: moving from passive document extraction to active, self-correcting agentic execution. By combining our enterprise-grade document understanding with secure, real-time sandboxed code execution, SuperApp enables users to not only parse unstructured data but programmatically act on it, write and run execution scripts, orchestrate complex software tools over Model Context Protocol (MCP), and complete open-ended reasoning tasks in a secure environment.

To lead the engineering team behind this next-generation capability, we are seeking an elite, hands-on Technical Lead Manager (TLM) &mdash; AI Systems &amp; Agents.
<h2 class="jobSectionHeader">
The Role: Player-Coach Leadership</h2>

This is an high-impact, low-bureaucracy role designed for a world-class systems engineer and builder. We keep our teams intentionally lean and fast. You will serve as a Player-Coach leading a tight, elite squad of 3 to 5 AI systems engineers.

At Instabase, we believe managers of small teams should stay close to the metal. Your time will be split:
<ul>
<li>60% to 70% Hands-on Engineering: Actively designing multi-turn agent loops, writing production code, building secure sandboxing environments, and architecting systems.</li>
<li>30% to 40% Leadership &amp; Mentorship: Recruiting top-tier talent, mentoring engineers, reviewing PRs, and aligning product roadmaps with technical execution.</li>
</ul><h2 class="jobSectionHeader">What You Will Do</h2>
<ul><li>Architect Stateful Agent Loops: Design and implement highly reliable, multi-turn agentic planning and execution state machines capable of self-correction, tool orchestration, and long-context memory persistence.</li>
<li>Build Secure Execution Sandboxes: Own the runtime execution layer where model-generated code (such as Python data-analysis scripts) is safely isolated, monitored, and run in real-time without compromising enterprise security boundaries.</li>
<li>Pioneer Tool Orchestration &amp; MCP: Expand our agent capabilities by designing composable tool-calling integrations using Model Context Protocol (MCP) and custom API interfaces.</li>
<li>Build Evaluation &amp; Trajectory Testing Harnesses: Establish programmatic frameworks (using LLM-as-a-judge and trajectory evaluations) to test if agent loops, tool-calling selections, and error recoveries behave safely and deterministically.</li>
<li>Scale High-Performance Systems: Work on deep systems problems including latency optimization, semantic caching, speculative execution, and streaming intermediate agent states for a responsive user experience.</li>
<li>Scale the Team: Bootstrap, hire, and mentor a small, elite, high-velocity team of software and AI engineers.</li>
</ul><h2 class="jobSectionHeader">Our Technical Stack</h2>
<ul><li>Orchestration &amp; Frameworks: LangGraph, LangChain, Go/Python, React, Node, Next.js.</li>
<li>Infrastructure &amp; Security: Secure sandboxed runtimes (Docker, gVisor, WebAssembly), GCP, AWS, Kubernetes, Cloud SQL (PostgreSQL, TimescaleDB), Redis, Pub/Sub.</li>
<li>AI &amp; Models: Integration with advanced reasoning models (GPT-4o, o3, Claude 3.5 Sonnet, DeepSeek) across custom function-calling, LLM fine-tuning, and hybrid vector-search RAG pipelines.</li>
<li>Standards: Model Context Protocol (MCP) tool schemas and APIs.</li>
</ul><h2 class="jobSectionHeader">About You</h2>
<ul><li>8+ Years of Professional Engineering Experience: A strong, proven background in software engineering, with significant tenure building and scaling backend systems, infrastructure, or platform services.</li>
<li>Active LLM &amp; Agentic Engineering Experience: Practical, hands-on experience building production-grade LLM applications, multi-agent workflows (using DAGs or state machines), or tool-calling executors.</li>
<li>Systems &amp; Infrastructure Rigor: Deep familiarity with building secure sandboxed runtimes, container isolation, API platforms, caching strategies, or high-throughput real-time data streaming.</li>
<li>Small-Team Leadership Experience: Proven track record of mentoring senior engineers, driving technical design reviews, and leading high-velocity squads as a Tech Lead, TLM, or hands-on EM.</li>
<li>An Active Builder: You love writing code. You are excited about the prospect of coding daily and staying out of the meetings and administrative bloat of traditional big-tech management.</li>
<li>Educational Background: BS, MS, or Ph.D. in Computer Science, Computer Engineering, or a highly quantitative field.</li>
</ul>
Compensation: The base salary range for this role is $230,00 to $270,000 + bonus, equity, and benefits. The actual pay may vary based on factors such as location, experience, and skills.
<div>
<div>US Benefits:</div>
<ul><li>Flexible PTO: Because life is better when you actually live it!</li>
<li>Comprehensive Coverage: Top-notch medical, dental, and vision insurance.</li>
<li>401(k) with Matching: We've got your back for a secure future.</li>
<li>Parental Leave &amp; Fertility Benefits: Supporting you in growing your family, your way.</li>
<li>Therapy Sessions Covered: Mental health matters&mdash; 10 free sessions through Samata Health.</li>
<li>Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving.</li>
<li>Lunch on Us: Enjoy a lunch credit when you're in the office.</li>
</ul>
#Li-Hybrid</div><div> 

</div><div>Instabase is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.</div></div>

Technical Lead Manager

Ontrac Solutions

<div><h1 class="jobSectionHeader">Overview</h1>
We are seeking a Principal GenAI Architect / Forward Deployed Principal Engineer to lead the design, delivery, and productionization of enterprise-grade Generative AI solutions within a highly regulated banking environment. This role will partner directly with business, product, engineering, architecture, risk, cyber, legal, compliance, and model governance teams to translate high-impact financial services use cases into scalable, secure, and compliant AI systems.
The ideal candidate has deep experience designing and delivering production-scale GenAI solutions across enterprise environments, with strong exposure to banking, financial services, risk management, customer operations, regulatory controls, and data protection requirements. This person will serve as a recognized GenAI expert across the organization, helping define reusable patterns, influence platform roadmaps, and raise the technical bar for responsible AI adoption across lines of business.
<h2 class="jobSectionHeader">Key Responsibilities</h2>
<h3 class="jobSectionHeader">GenAI Architecture &amp; Production Readiness</h3>
Own and define enterprise-grade GenAI architectures for banking and financial services use cases, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing strategies.
Drive production readiness for GenAI solutions, ensuring scalability, resiliency, observability, latency optimization, security, and cost efficiency.
Lead complex architectural decisions across data ingestion, vector databases, model selection, guardrails, API scalability, performance optimization, and secure integration with banking systems.
Establish reference architectures, reusable patterns, and best practices to accelerate responsible GenAI adoption across lines of business.
Partner with central AI platform teams to align solution architecture with enterprise AI services, platform capabilities, banking technology standards, and long-term roadmap priorities.
<h3 class="jobSectionHeader">Banking Use-Case Delivery</h3>
Act as a Forward Deployed Principal Engineer, partnering directly with business, product, and engineering teams to deliver high-impact GenAI use cases from ideation through production.
Translate banking and financial services business problems into clear AI system designs, technical requirements, and non-functional requirements with measurable outcomes.
Support GenAI use cases across areas such as customer service, operations, knowledge management, risk, compliance, fraud, employee productivity, document intelligence, and internal workflow automation.
Troubleshoot and resolve complex issues across non-production and production environments.
Partner closely with application teams to ensure AI solutions integrate effectively into existing banking platforms, enterprise workflows, data environments, APIs, and control frameworks.
Influence platform roadmap by feeding real-world banking use-case requirements back into central AI services and enterprise AI platform teams.
<h3 class="jobSectionHeader">Governance, Risk &amp; Compliance</h3>
Ensure all AI solutions align with banking risk, cyber, model governance, data protection, privacy, and regulatory expectations.
Partner with Cyber, Model Risk Management, Legal, Compliance, Risk, and Data Governance teams to design compliant AI patterns without slowing delivery.
Embed security, privacy, responsible AI, ethical AI, explainability, human oversight, and auditability into solution design by default.
Help define practical implementation patterns that balance innovation, speed, governance, regulatory expectations, and enterprise control requirements.
Ensure GenAI solutions are designed with appropriate guardrails for sensitive financial data, customer information, personally identifiable information, and regulated business processes.
<h3 class="jobSectionHeader">Organizational Influence &amp; Mentorship</h3>
Serve as a recognized GenAI expert across the enterprise, regularly consulted by engineering, architecture, product, risk, compliance, and leadership teams.
Mentor senior and staff-level engineers and help raise the technical bar across banking technology teams.
Contribute to internal communities of practice, architecture reviews, executive-level technical discussions, AI governance forums, and knowledge-sharing sessions.
Represent enterprise GenAI capabilities in internal innovation forums, banking technology discussions, and responsible AI showcases.
<h2 class="jobSectionHeader">Required Qualifications</h2>
7+ years of software engineering experience, with significant depth in AI/ML, data-intensive systems, distributed systems, or enterprise-scale platforms.
2+ years of hands-on Python programming experience.
2+ years of experience designing and delivering production-scale Generative AI systems in an enterprise environment.
2+ years of experience with LLMs, prompt engineering, and RAG architecture.
2+ years of experience with vector databases, semantic search, and retrieval systems.
2+ years of experience with API-driven, cloud-native architectures.
2+ years of experience with distributed systems, performance optimization, scalability, and reliability engineering.
Experience working within banking, financial services, fintech, or another highly regulated enterprise environment.
<h2 class="jobSectionHeader">Preferred Qualifications</h2>
Strong understanding of banking technology environments and non-functional requirements, including security, scalability, resiliency, observability, latency, auditability, and cost management.
Demonstrated Principal-level impact, with influence across multiple teams, platforms, business units, or lines of business.
Experience operating in highly regulated environments, with financial services or banking experience strongly preferred.
Hands-on experience with agentic AI frameworks, AI workflow orchestration, and multi-model routing.
Prior experience in a Forward Deployed Engineer, embedded engineering, or business-facing technical delivery model.
Experience partnering with risk, cyber, legal, compliance, data governance, or model governance teams to deliver production AI solutions.
Familiarity with banking controls, customer data protection, model risk management, audit requirements, regulatory expectations, and responsible AI principles.
Ability to communicate complex technical concepts clearly to senior executives, technical stakeholders, risk partners, compliance teams, and non-technical business leaders.
<h2 class="jobSectionHeader">Ideal Candidate Profile</h2>
The ideal candidate is a hands-on Principal-level engineer and architect who can move seamlessly between strategy, architecture, and execution in a banking environment. They are comfortable working directly with business teams to understand real-world financial services problems, while also going deep with engineering teams on system design, performance, security, governance, and production readiness.
This person brings strong technical judgment, enterprise banking delivery experience, and the ability to build practical, compliant GenAI solutions that can scale responsibly across a large financial institution.</div>

Principal AI Engineer

Miso Labs

<div>At Miso Labs, our goal is to pass the voice Turing test. In order to do so, we must move beyond the current STT-&gt;LLM-&gt;TTS paradigm, and train full-duplex speech-to-speech models. This requires exploring new architectural ideas, and scaling them rapidly.
We&rsquo;ve raised a large seed round from top investors and are hiring our founding research team. We&rsquo;re a small team, so you can expect to work on every part of the model training stack from small-scale architecture experiments, to large pre-training runs on up to 1000 H100s. We are an in-person culture in San Francisco, and you will be expected to relocate to the SF area (we will cover the moving costs).
It is important to us that team members get credit for their work. Outside of our core IP, researchers are encouraged to publish their work in conferences, and we are happy to sponsor travel to top conferences in AI/ML.
Preferred Qualifications:<ul><li>
Have a Bachelor&rsquo;s Degree in a technical field (Computer Science, Physics, Mathematics etc.) or equivalent experience</li><li>
Excited to work on all aspects of model training and development</li><li>
Are comfortable with both research and hands-on engineering</li><li>
Are capable of owning long-term research outcomes end-to-end</li><li>
Willing to learn technical skills quickly, in a self-directed manner</li><li>
Prior experience with both PyTorch and CUDA</li></ul>
If you&rsquo;re interested in this role, please apply even if you don&rsquo;t fit all the qualifications. We&rsquo;re more interested in evidence of exceptional ability than prior experience in deep learning/AI.
This role comes with full benefits including:<ul><li>
Healthcare, vision, and dental</li><li>
Stipend for gym</li><li>
Relocation bonus</li></ul>
Compensation Range: $400K - $500K</div>

Founding Researcher

Heliux

<div>
 
 About Heliux
 
 
 
 Heliux is a software platform that unifies and accelerates enterprise-wide operations for manufacturers. Our centralized operating system models cross-functional teams, workflows, and data into a single system of execution.
 
 
 Powering organizations across engineering, planning, supply chain, production, quality, accounting, and more, Heliux enables manufacturers to intelligently optimize end-to-end operational and financial performance.
 
 
 Headquartered in San Francisco, CA, Heliux is on a mission to drive unprecedented velocity in manufacturing. We&rsquo;re proudly backed by New Stack Ventures, Marlinspike, Humba Ventures, Amplify.LA, Crosscut Ventures, and Lux Capital.
 
 
 
 About The Role
 
 
 
 Engineers at Heliux are directly responsible for end-to-end design, development, and delivery of our core software platform:
 
 
 <ul>
 <li>
 Acquire expertise in hardware engineering and manufacturing through immersive, hands-on problem-solving with our customers.
 </li>
 <li>
 Rapidly design, build, test, deliver, and maintain complex software systems that are performant, reliable, and scalable.
 </li>
 <li>
 Contribute to the high-level technical direction of both the organization and the platform to ensure we are always accelerating the velocity of our work.
 </li>
 <li>
 Relentlessly solve any and all technical problems that stand in the way of company objectives&mdash;and therefore, our success.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Proven experience building complex, scalable software systems from zero-to-one&mdash;i.e., problem identification to production-grade solution.
 </li>
 <li>
 Demonstrated proficiency in programming languages such as Rust, Python, Java, TypeScript, or similar.
 </li>
 <li>
 Inherent desire to operate with extreme levels of urgency across all aspects of life and work.
 
 
 </li>
 </ul>
 
 About Our Stack
 
 
 
 <ul>
 <li>
 Frontend: React, TypeScript, NextJS, ThreeJS
 </li>
 <li>
 Backend: Rust, Python w/ FastAPI and Flask
 </li>
 <li>
 Database &amp; Infra: PostgreSQL, DynamoDB, Standard and Government AWS: RDS, S3, ECS, SQS
 </li>
 <li>
 Runtime: Electron, Docker
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive compensation package, including company equity.
 </li>
 <li>
 Healthcare coverage across medical, dental, and vision.
 </li>
 <li>
 Unlimited PTO.
 </li>
 <li>
 Monthly company-sponsored lunches and/or outings.
 
 
 </li>
 </ul>
 All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
 
 
 
 ITAR Requirements
 
 
 
 To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.
 
 
 <ul>
 <li>
 1157, or (iv) Asylee under 8 U.S.C.
 </li>
 <li>
 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 </li>
 </ul>
</div>

Software Engineer

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